The first course in Andrew Ng's Deep Learning Specialization on Coursera, covering the foundations of neural networks and deep learning, including forward and backward propagation and building networks in Python.

One commenter calls Andrew Ng's newer neural network specialization a great first step alongside his intro to machine learning course.

What commenters said (1)

1. Recommendsbllguo2018in “Ask HN: How to Seriously Start with Machine Learning and AI”

   I'm starting the fast.ai courses as a recent stat grad looking to expand my knowledge. Heard many good testimonials. Besides that, I think Andrew Ng's Coursera offerings - intro to ML and the newer NN specialization - are great first steps. Personally I have a hard time learning from videos, so I refer to my copy of Pattern Recognition and Machine Learning by Bishop.

   If you want a linear algebra text, I enjoy Strang's Introduction to Linear Algebra

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